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Sven Giesselbach
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2020 – today
- 2024
- [b2]Sven Giesselbach:
Data Science with Foundation Models: An Evidence-Based, Comprehensive Project Methodology. University of Bonn, Germany, 2024 - [j2]Katrin Klug, Katharina Beckh, Dario Antweiler, Nilesh Chakraborty, Giulia Baldini, Katharina Laue, René Hosch, Felix Nensa, Martin Schuler, Sven Giesselbach:
From admission to discharge: a systematic review of clinical natural language processing along the patient journey. BMC Medical Informatics Decis. Mak. 24(1): 238 (2024) - 2023
- [b1]Gerhard Paaß, Sven Giesselbach:
Foundation Models for Natural Language Processing - Pre-trained Language Models Integrating Media. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2023, ISBN 978-3-031-23189-6, pp. 1-419 - [j1]Laura von Rüden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker:
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Trans. Knowl. Data Eng. 35(1): 614-633 (2023) - [i5]Gerhard Paaß, Sven Giesselbach:
Foundation Models for Natural Language Processing - Pre-trained Language Models Integrating Media. CoRR abs/2302.08575 (2023) - 2022
- [c5]Eduardo Brito, Vishwani Gupta, Eric Hahn, Sven Giesselbach:
Assessing the Performance Gain on Retail Article Categorization at the Expense of Explainability and Resource Efficiency. KI 2022: 45-52 - 2021
- [c4]Vishwani Gupta, Katharina Beckh, Sven Giesselbach, Dennis Wegener, Tim Wirtz:
Supporting verification of news articles with automated search for semantically similar articles. ROMCIR@ECIR 2021: 47-58 - [c3]Dennis Wegener, Sven Giesselbach, Niclas Doll, Heike Horstmann:
Introducing the NLU Showroom: A NLU Demonstrator for the German Language. LDK 2021: 28:1-28:9 - [i4]Vishwani Gupta, Katharina Beckh, Sven Giesselbach, Dennis Wegener, Tim Wirtz:
Supporting verification of news articles with automated search for semantically similar articles. CoRR abs/2103.15581 (2021) - 2020
- [c2]Birgit Kirsch, Sven Giesselbach, Timothée Schmude, Malte Völkening, Frauke Rostalski, Stefan Rüping:
Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain. LWDA 2020: 76-87
2010 – 2019
- 2019
- [c1]Vishwani Gupta, Sven Giesselbach, Stefan Rüping, Christian Bauckhage:
Improving Word Embeddings Using Kernel PCA. RepL4NLP@ACL 2019: 200-208 - [i3]Johannes Burdack, Fabian Horst, Sven Giesselbach, Ibrahim Hassan, Sabrina Daffner, Wolfgang Immanuel Schöllhorn:
Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Classification of Gait Using Machine Learning. CoRR abs/1911.04335 (2019) - 2018
- [i2]Linara Adilova, Sven Giesselbach, Stefan Rüping:
Making Efficient Use of a Domain Expert's Time in Relation Extraction. CoRR abs/1807.04687 (2018) - [i1]Sven Giesselbach, Katrin Ullrich, Michael Kamp, Daniel Paurat, Thomas Gärtner:
Corresponding Projections for Orphan Screening. CoRR abs/1812.00058 (2018)
Coauthor Index
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last updated on 2024-10-16 21:21 CEST by the dblp team
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